Outlier detection in ground-measured solar resource data using statistical classification models
Ground-based solar resource measurements are known to be preferred to synthetic or simulated data for a given location, but outliers present in this data can significantly impact the accuracy of predictions used in viability assessments. For solar energy installations to be self-sustaining and viab...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Cape Town
2025-05-01
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| Series: | Journal of Energy in Southern Africa |
| Subjects: | |
| Online Access: | https://energyjournal.africa/article/view/20742 |
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